An improved longitude-latitude mapping algorithm for fisheye image calibration

Yan Zhao; Hongxing Xie; Jianmin Yao; Enguo Chen; Sheng Xu

doi:10.1117/12.2284950

24 October 2017 An improved longitude-latitude mapping algorithm for fisheye image calibration

Yan Zhao, Hongxing Xie, Jianmin Yao, Enguo Chen, Sheng Xu

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104622U (2017) https://doi.org/10.1117/12.2284950
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

Field of view (FOV) of the fisheye lens is close to or even higher than 180°, which brings about extraordinary imaging effect that the visual range would be far wider than the human eye perspective. However, the wide visual range of the fisheye lens is always at the expense of image quantity, so that the images obtained by fisheye lens would inevitably show a large degree of distortion aberration. In this paper, we propose an improved distortion calibration algorithm of longitude-latitude mapping to eliminate the image distortion aberration caused by fisheye lens. This method does not need to depend on a specific physical camera and has general and universal significance. By using Matlab as a mathematical analysis tool, the verified experiment and the corresponding write code is performed to correct a specific fisheye lens’ image based on the previously proposed algorithm. A reverse mapping is used to avoid cross-border problems, and comparative experiments are also analyzed to show the difference between the image processing with the traditional and the proposed algorithm. Experimental results demonstrate that the proposed algorithm can better achieve the correction of fisheye lens distortion. The twisted lines that are not expected can be well corrected into the straight lines. This method can not only reduce the problem of horizontal stretching of the image, but also make the processing results visually consistent with people's viewing habits.

Citation Download Citation

Yan Zhao, Hongxing Xie, Jianmin Yao, Enguo Chen, and Sheng Xu "An improved longitude-latitude mapping algorithm for fisheye image calibration", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622U (24 October 2017); https://doi.org/10.1117/12.2284950

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available